Medical Institute, Sumy State University, Sumy, Ukraine.
Institute of medical sciences and SUM Hospital, Siksha 'O' Anusandhan, Bhubaneswar, India.
J Infect Public Health. 2023 Oct;16(10):1556-1561. doi: 10.1016/j.jiph.2023.07.001. Epub 2023 Jul 7.
Africa bears the largest burden of communicable and non-communicable diseases globally, yet it contributes only about 1 % of global research output, partly because of inaccessibility and low maintenance of medical data. Data is widely recognized as a crucial tool for improvement of population health. Despite the introduction of electronic health data systems in low-and middle-income countries (LMICs) to improve data quality, some LMICs still lack an efficient system to collect and archive data. This study aims to examine the underlying causes of data archive inaccessibility and poor maintenance in LMICS, and to highlight sustainable mitigation measures.
Authors conducted a comprehensive search on PubMed, Google scholar, organization websites using the search string "data archive" or "medical data" or "public health statistics" AND "challenges" AND "maintenance" AND "Low Middle Income Countries" or "LMIC". to Identify relevant studies and reports to be included in our review. All articles related data archive in low and middle income countries were considered without restrictions due to scarcity of data.
Medical data archives in LMICs face challenges impacting data quality. Insufficient training, organizational constraints, and limited infrastructure hinder archive maintenance. To improve, support for public datasets, digital literacy, and technology infrastructure is needed. Standardization, cloud solutions, and advanced technologies can enhance data management, while capacity building and training programs are crucial.
The creation and maintenance of data archives to facilitate the storage of retrospective datasets is critical to create reliable and consistent data to better equip the development of resilient health systems and surveillance of diseases in LMICs.
非洲在全球范围内承担着最大的传染病和非传染性疾病负担,但它的全球研究产出仅占约 1%,部分原因是医疗数据难以获取和维护不善。数据被广泛认为是改善人口健康的关键工具。尽管在中低收入国家(LMICs)引入了电子健康数据系统来提高数据质量,但一些 LMICs 仍然缺乏收集和存档数据的有效系统。本研究旨在探讨 LMICs 中数据存档难以获取和维护不善的根本原因,并强调可持续的缓解措施。
作者在 PubMed、Google Scholar 和组织网站上使用搜索字符串“数据存档”或“医疗数据”或“公共卫生统计”和“挑战”和“维护”和“低中收入国家”或“LMIC”进行了全面搜索,以识别相关研究和报告纳入我们的审查。由于数据稀缺,所有与低和中收入国家的数据存档相关的文章都被考虑在内,没有任何限制。
LMIC 中的医疗数据存档面临影响数据质量的挑战。培训不足、组织限制和有限的基础设施阻碍了存档维护。为了改善这种情况,需要支持公共数据集、数字扫盲和技术基础设施。标准化、云解决方案和先进技术可以增强数据管理,而能力建设和培训计划至关重要。
创建和维护数据档案以促进回顾性数据集的存储对于创建可靠和一致的数据以更好地为 LMICs 中弹性卫生系统的发展和疾病监测提供支持至关重要。